Anyq
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ailearning | 37,934 |  | 2 | a month ago | 8 | March 20, 2022 | 1 | other | Python | |
| AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2 | ||||||||||
| Pytorch Kaldi | 2,138 | 2 years ago | 24 | Python | ||||||
| pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit. | ||||||||||
| Anyq | 2,112 | 3 years ago | 61 | apache-2.0 | C++ | |||||
| FAQ-based Question Answering System | ||||||||||
| Deep Learning Time Series | 1,811 | 2 years ago | 8 | apache-2.0 | Jupyter Notebook | |||||
| List of papers, code and experiments using deep learning for time series forecasting | ||||||||||
| Flow Forecast | 1,759 | 3 months ago | 101 | gpl-3.0 | Python | |||||
| Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). | ||||||||||
| Vad | 632 | 3 years ago | 32 | MATLAB | ||||||
| Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset. | ||||||||||
| Speechalgorithms | 625 | 6 months ago | apache-2.0 | C | ||||||
| Speech Algorithms | ||||||||||
| Ner Lstm | 528 | 5 years ago | 12 | Python | ||||||
| Named Entity Recognition using multilayered bidirectional LSTM | ||||||||||
| Predictive Maintenance Using Lstm | 507 | a year ago | mit | Python | ||||||
| Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras. | ||||||||||
| Stock Prediction Deep Neural Learning | 385 | 4 months ago | cc0-1.0 | Jupyter Notebook | ||||||
| Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting | ||||||||||
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